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Data Scientist


Framingham, Massachusetts
Job Type:
Job Status:
Full Time
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Job Details

As our company slogan states, the Staples Supply Chain is Making Things Happen for our customers every day through our network of more than 30 warehouses, 1300 stores, and hundreds of delivery trucks. Even though we already operate the best supply chain in our industry, we need talented individuals like you to help us leverage advanced analytics and optimization algorithms to achieve breakthrough performance levels.


Position Summary

The Scientist is responsible for applying advanced analytical methods to improve decision-making at Staples. Using machine learning, statistical analysis, and mathematical optimization, the individual plays a key role in supporting the development of state-of-the-art solutions to complex decision-making problems. These problems will come from all parts of Staples and will include challenges like:

  • Developing SKU demand prediction and item sourcing strategies that drive growth and profitability while minimizing Staples’ investment in inventory and achieving or exceeding service-level targets.
  • Building and deploying algorithms that reduce order fulfilment costs across warehouse and transportation network through robotic automation, process control, and capacity optimization.
  • Enhancing and implementing product profitability and cost-to-serve models to ensure the right products are being stocked in the right locations with right replenishment policies.

Primary Responsibilities

  • Work closely with key business partners to understand critical, complex, data-driven business and operations-related problems, and then apply analytical methods to solve them – resulting in a significant, positive impact on the Staples’ bottom-line.
  • Communicate results to executive leadership.
  • Research, design, and implement data models and innovative algorithms to analyze diverse sources of data to realize actionable results.




Basic Qualifications
  • MS in Computer Science, Statistics, Operations Research, Applied Mathematics, Applied Physics or related field, plus 3-5 years industry experience
  • PhD in Computer Science, Statistics, Operations Research, Applied Mathematics, Applied Physics or related field, plus 0-3 years industry experience
  • Hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling, and mathematical optimization techniques and technologies
  • Hands-on experience with querying databases in order to drive required analysis independently and swiftly
  • Excellent ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical stakeholders
  • Keen attention to detail, and ability to dive deep
Preferred Qualifications
  • Experience developing large scale systems using parallel and distributed computing
  • Experience working with development toolsets such as Spark, Hadoop, Python, C++, Java, R, H2O, Shiny, Docker, MYSQL, Teradata, NOSQL, etc.
  • Hands-on experience with object oriented design, service oriented architecture, open source technologies, and Linux operating system

  • Development experience with web application systems & technologies such as HTML5, AngularJS, JavaScript, CSS, XML, REST, GIT, and AJAX

  • Experience using advanced supervised and unsupervised learning techniques, natural language processing, robotics, markov decision process, deterministic and non-deterministic mathematical programming, constraint satisfaction, and control theory
  • Experience with various areas of the supply chain such as customer order, inventory, warehouse, and transportation management
  • Experience with financial modelling
  • The ability to think big, manage ambiguity to move quickly and deliver results in an entrepreneurial environment is critical to the success
  • Fearless but thoughtful in their pursuit of results
  • Flexible and resourceful, and easily adaptable to changes in environment and prioritization
  • Possess excellent business judgment, and a practical, common sense approach to getting things done
Make More Happen with a career at Staples! Apply now!
Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.